Detection of Dense Citrus Fruits by Combining Coordinated Attention and Cross-Scale Connection with Weighted Feature Fusion

Detection of Dense Citrus Fruits by Combining Coordinated Attention and Cross-Scale Connection with Weighted Feature Fusion

The accuracy detection of individual citrus fruits in a citrus orchard environments is one of the key steps in realizing precision agriculture applications such as yield estimation, fruit thinning, and mechanical harvesting. This study proposes an improved object detection YOLOv5 model to achieve ac...

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Bibliographic Details
Main Authors: Xiaoyu Liu, Guo Li, Wenkang Chen, Binghao Liu, Ming Chen, Shenglian Lu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Applied Sciences
Subjects:
computer vision
citrus detection
YOLOv5
small objects
real-time detection
Online Access:https://www.mdpi.com/2076-3417/12/13/6600

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